Reference · Terminology

Poker AI & Detection Glossary

The terms that recur across this site and the wider poker-AI literature — solver theory, opponent modelling, the iPoker Network, and the detection stack behind Bet365 Poker. Defined plainly, for developers and curious players. For the full picture see the technical reference.

GTOGame Theory Optimal
A strategy that cannot be exploited by any opponent because it plays a Nash-equilibrium frequency distribution. A solver-anchored bot uses GTO output as its baseline before layering exploitative deviation.
CFRCounterfactual Regret Minimisation
The iterative self-play algorithm used to approximate Nash equilibria in imperfect-information games like poker. Pluribus and Libratus are CFR-derived. Convergence produces the action-frequency tables a bot queries.
Solver
Offline software (PioSolver, GTO+, MonkerSolver) that computes a near-equilibrium strategy for a defined game tree. The output is a large lookup table keyed on game state; the solver is the theory book, the bot is the player using it.
HUDHeads-Up Display
An on-screen overlay showing opponent statistics gathered from hand history. Third-party HUDs are prohibited across iPoker skins and blocked by client-side process detection, which pushes modern bots toward online opponent modelling instead.
Rake
The commission an operator takes from each pot or tournament entry. iPoker rake runs 5–7% on low-stakes NLH cash dropping to 3–4% at mid-stakes, and is the main constraint on which stakes are bot-viable after costs.
RNGRandom Number Generator
The system producing card order. Modern poker uses a cryptographically secure pseudo-random number generator (CSPRNG) seeded from multiple entropy sources, committed server-side before any card information reaches a client.
CSPRNGCryptographically Secure PRNG
A random number generator whose output cannot be predicted even given prior outputs. The reason RNG-prediction "hacks" do not work: poker exposes outputs far too slowly to recover the generator state.
eCOGRA
An independent testing and certification body that historically attested the iPoker RNG. Current attestations are jurisdiction-specific (UKGC, MGA, and others). An audit confirms the audit happened, not that the system is unbreakable.
Multi-tabling
Playing several tables at once. Trivial for software and a primary economic reason bots exist; also a detection vector, since sequential decision-clocking across tables can leak cross-table action-latency correlations.
ICMIndependent Chip Model
A model converting tournament chip stacks into real-money equity, critical for bubble and final-table decisions. Solver coverage of ICM spots is patchy, which is why MTTs remain a hard automation target.
Fingerprinting
Building a stable identifier from device and behavioural signals — input timing, mouse-path geometry, touch dwell, sensor data, idle behaviour. Playtech joins behavioural fingerprints across every iPoker skin on its internal player ID.
VPIPVoluntarily Put In Pot
The percentage of hands a player voluntarily enters. A core opponent-model statistic; pure-GTO bots cluster at population mass with abnormally low variance, which is itself a detection signal.
PFRPre-Flop Raise
The percentage of hands a player raises before the flop. Paired with VPIP to classify playing style and feed both opponent modelling and statistical play-pattern detection.
3-bet
The third bet in a betting sequence (a re-raise). 3-bet frequency by position is a standard feature in both solver strategy and the detection classifier.
C-betContinuation Bet
A bet on the flop by the player who raised pre-flop. Fold-to-cbet by board texture is a high-signal statistic for both exploitation and detection.
Spin / Twister
iPoker’s lottery-style three-handed hyper-turbo (10bb start) with a random prize multiplier up to 1000x the buy-in. Push-fold trees are well-solved, but multiplier variance dominates the EV signal over tens of thousands of games.
Speed Poker
iPoker’s fast-fold variant, comparable to Rush & Cash or Zoom. Players are reseated immediately after folding, which breaks long-horizon opponent modelling faster than a static table.
RTAReal-Time Assistance
Using solver or AI output during a live hand without full automation. Prohibited; detected through statistical play-pattern analysis over volume rather than client telemetry.
Adversarial classification
The formal frame for anti-detection: the operator builds a classifier separating bot from human behaviour, and the bot produces a distribution the classifier cannot separate from the population while preserving EV. Dates to Dalvi et al. (2004) and Lowd & Meek (2005).
KYCKnow Your Customer
Identity- and source-of-funds verification a regulated operator must perform. Bet365’s sportsbook-grade KYC is heavier than at a pure poker operator and closes the multi-accounting graph cleanly.
Skin
A branded operator front-end on a shared liquidity network. Bet365 Poker is a skin on Playtech’s iPoker Network; player pool, RNG, and core anti-cheat are shared across all skins.
Chip dumping
Deliberately losing chips to transfer value between colluding accounts. A top operator priority under UKGC and MGA anti-collusion requirements, caught via the account graph plus suspicious hand sequences.
State abstraction
Collapsing the game state into equivalence classes (board texture, stack-to-pot ratio, position, action history) to shrink a solver lookup table. Combined with action abstraction it compresses CFR output by four to five orders of magnitude with bounded EV loss.
Action abstraction
Discretising bet sizes to a finite set (33%, 50%, 66%, 100%, 150%, all-in) so the solver solves only at those points, making mobile-budget inference feasible.

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